M. W. Wolter

ORCID: 0000-0001-9184-2921
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Particle Detector Development and Performance
  • Quantum Chromodynamics and Particle Interactions
  • Dark Matter and Cosmic Phenomena
  • Computational Physics and Python Applications
  • Cosmology and Gravitation Theories
  • Neutrino Physics Research
  • Black Holes and Theoretical Physics
  • Radiation Detection and Scintillator Technologies
  • Distributed and Parallel Computing Systems
  • Atomic and Subatomic Physics Research
  • Astrophysics and Cosmic Phenomena
  • Medical Imaging Techniques and Applications
  • Particle Accelerators and Free-Electron Lasers
  • advanced mathematical theories
  • Advanced Data Storage Technologies
  • CCD and CMOS Imaging Sensors
  • Muon and positron interactions and applications
  • Time Series Analysis and Forecasting
  • Radiation Effects in Electronics
  • Particle accelerators and beam dynamics
  • Superconducting Materials and Applications
  • Nuclear Physics and Applications
  • Advanced Statistical Methods and Models

Institute of Nuclear Physics, Polish Academy of Sciences
2016-2025

The University of Adelaide
2014-2023

Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine
2023

Istituto Nazionale di Fisica Nucleare, Sezione di Trieste
2023

Polish Academy of Sciences
2007-2020

Université Grenoble Alpes
2020

Institut National de Physique Nucléaire et de Physique des Particules
2020

Centre National de la Recherche Scientifique
2020

Institut polytechnique de Grenoble
2020

University of Science and Technology of China
2019

In high-energy physics, with the search for ever smaller signals in larger data sets, it has become essential to extract a maximum of available information from data. Multivariate classification methods based on machine learning techniques have fundamental ingredient most analyses. Also multivariate classifiers themselves significantly evolved recent years. Statisticians found new ways tune and combine further gain performance. Integrated into analysis framework ROOT, TMVA is toolkit which...

10.48550/arxiv.physics/0703039 preprint EN other-oa arXiv (Cornell University) 2007-01-01

10.1016/j.nima.2005.07.002 article EN Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 2005-07-26

We use fits to recent published CPLEAR data on neutral kaon decays $π^+π^-$ and $πeν$ constrain the CPT--violation parameters appearing in a formulation of system as an open quantum-mechanical system. The obtained upper limits are approaching range suggested by certain ideas concerning quantum gravity.

10.1016/0370-2693(95)01416-0 article EN cc-by-nc-nd Physics Letters B 1995-12-01

The ABCD design is a single chip implementation of the binary readout architecture for silicon strip detectors in ATLAS semiconductor tracker. prototype has been manufactured successfully DMILL process. In paper we present and measurement results. basic analogue performance evaluated using SCT module equipped with chips. digital general purpose IC tester. measurements confirmed that all blocks are fully functional chips meet requirements SCT. Wafer screening performed customised wafer

10.1109/23.914457 article EN IEEE Transactions on Nuclear Science 2000-12-01

As the result of oxidation Cr-Mn steels in SO2 three layer scale is formed. The intermediate this composed mainly MnCr2O4 spinel whereas FeCr2O4 present small amount. MnO dominates outer layer. inner, very thin contains oxides/sulfides mixture. aim study was to examine self-diffusion processes both spinels by multitracer method diffusion measurements know which transport during smallest one and deciding on corrosion rate. In experiments radioisotopes 54Mn, 51Cr 59Fe were used. serial...

10.4028/www.scientific.net/ast.46.27 article EN Advances in science and technology 2006-10-10
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